Evidence map›Paper›PMID 36925805›Full record

ArticleFrontiers in health services2022

Dynamic observation and qualitative analysis of a psychological crisis hotline during the COVID-19 pandemic.

Mengyuan Ouyang, Shasha Song, Hui Ma, Hua Yang, Jing Leng, Ping Zhou, Changjun Teng, Hongxia Ou, Jijun Li, Na Liu and 1 more

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Article in Frontiers in health services, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mengyuan OuyangThe Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China.
Shasha SongThe Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China.
Hui MaDepartment of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Hua YangDepartment of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Jing LengDepartment of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Ping ZhouDepartment of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Changjun TengDepartment of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Hongxia OuDepartment of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Jijun LiDepartment of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Na LiuDepartment of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Ning ZhangThe Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to analyze the chief complaints of psychological crisis hotlines during the coronavirus disease 2019 (COVID-19) pandemic in Jiangsu, China, and to summarize the psychological characteristics of the public during the different stages of COVID-19. Methods: The chief complaints of calls to the psychological crisis hotline from 27 January 2020 to 30 June 2020. A total of 578 calls were extracted and grouped using thematic analysis into categories. After statistical analysis, the monthly and three-period trends were observed dynamically to determine whether there were statistical differences in the proportion of specific chief complaints over the phases. Results: There were a total of 495 cases of psychological problems or physical discomfort, accounting for 85.64% of the total sample number of hotline calls related to the pandemic. The numbers of callers with anxiety, depression, obsessive-compulsive symptoms, illness anxiety, insomnia, and physical discomfort were 370 (64.01%), 103 (17.99%), 33 (5.71%), 36 (6.23%), 51 (8.82%), and 72 (12.46%), respectively, and 83 (14.36%) callers consulted other problems. The monthly main complaints showed a fluctuating trend, and each main complaint peaked at different stages. The main complaints during the three stages had distinct features, respectively, and the proportions of calls for the specific complaints differed statistically over the phases. Conclusion: Dynamic observation and qualitative analysis of psychological crisis hotline data might indicate dynamic changes and accordingly provide guidance for online crisis intervention when other public health crises occur.

Indexed as

COVID-19dynamic observationpsychological crisis hotlinepublicqualitative analysis

Identifiers

PMID36925805
PMCPMC10012781

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.